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3046 Results

May 17, 2012

Understanding Systemic Risk in the Banking Sector: A MacroFinancial Risk Assessment Framework

The MacroFinancial Risk Assessment Framework (MFRAF) models the interconnections between liquidity and solvency in a financial system, with multiple institutions linked through an interbank network. The MFRAF integrates funding liquidity risk as an endogenous outcome of the interactions between solvency risk and the liquidity profiles of banks, which is a complementary approach to the new […]

The BoC-BoE Sovereign Default Database: What’s New in 2019?

Staff Working Paper 2019-39 David Beers, Patrisha de Leon-Manlagnit
Until recently, few efforts have been made to systematically measure and aggregate the nominal value of the different types of sovereign government debt in default. To help fill this gap, the Bank of Canada (BoC) developed a comprehensive database of sovereign defaults that is posted on its website and updated in partnership with the Bank of England (BoE).

Fads or Bubbles?

Staff Working Paper 1997-2 Huntley Schaller, Simon van Norden
This paper tests between fads and bubbles using a new empirical strategy (based on switching-regression econometrics) for distinguishing between competing asset-pricing models. By extending the Blanchard and Watson (1982) model, we show how stochastic bubbles can lead to regime-switching in stock market returns.
Content Type(s): Staff research, Staff working papers Research Topic(s): Financial markets JEL Code(s): C, C4, C40, G, G1, G12

Forecasting GDP Growth Using Artificial Neural Networks

Staff Working Paper 1999-3 Greg Tkacz, Sarah Hu
Financial and monetary variables have long been known to contain useful leading information regarding economic activity. In this paper, the authors wish to determine whether the forecasting performance of such variables can be improved using neural network models. The main findings are that, at the 1-quarter forecasting horizon, neural networks yield no significant forecast improvements. […]

Quantile VARs and Macroeconomic Risk Forecasting

Staff Working Paper 2025-4 Stéphane Surprenant
This paper provides an extensive evaluation of the performance of quantile vector autoregression (QVAR) to forecast macroeconomic risk. Generally, QVAR outperforms standard benchmark models. Moreover, QVAR and QVAR augmented with factors perform equally well. Both are adequate for modeling macroeconomic risks.
Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles JEL Code(s): C, C5, C53, C55, E, E3, E37
August 18, 2011

The BoC-GEM-Fin: Banking in the Global Economy

This article describes the Bank of Canada’s version of the Global Economy Model structured to incorporate an active banking system that features an interbank market and cross-border lending. After describing the new model, the authors use it to examine the responses of selected U.S. and Canadian macroeconomic variables to a “credit crunch” in the United States and also to study the impact of changes in the regulatory limits to bank leverage in Canada. They also discuss the relative merits of a monetary policy framework based on inflation targeting and one based on price-level targeting in the presence of shocks to the U.S. and Canadian banking sectors.
September 14, 2016

(S)low for Long and Financial Stability

Remarks Carolyn A. Wilkins Official Monetary and Financial Institutions Forum City Lecture London, United Kingdom
Senior Deputy Governor Carolyn Wilkins discusses the financial stability risks associated with slow growth and low interest rates, and explores strategies to mitigate them.
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